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A groundbreaking dataset and benchmark that bridges the gap between anatomical and metabolic analysis in whole-body PET/CT imaging, enabling advanced multimodal reasoning.
Exact Aumann-Shapley attributions in GNNs are now achievable with a polynomial architecture, drastically improving fidelity while slashing computational costs.
